Projects

Commercial Insurance, Medicaid, and Electronic Health Record Data Purchase

2021

Project Overview

Objective

To provide the U.S. Department of Health and Human Services (HHS) Office of the Assistant Secretary for Planning and Evaluation (ASPE) with access to commercial and Medicaid claims data and electronic health records, as well as technical assistance to enable ASPE to better analyze health care spending and utilization of health services.

Project Motivation

Enable ASPE to conduct better analyses for leaders in HHS that advances their understanding of the impacts policies have on service utilization and expenditure patterns in the health sector.

Partners in Progress

HHS Technology Group

Prepared For

U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation

ASPE requires access to a wide range of U.S. health care data and analytics to study today’s most pressing health policy issues.

Mathematica and its partners will provide ASPE with commercial and Medicaid claims data and electronic health records data that will enable it to analyze pressing health care issues and respond to queries from HHS leadership about high-priority topics such as the COVID-19 pandemic, telehealth, mental health, the opioid epidemic and substance use disorder, health care cost persistence, and use of health care by populations in underserved areas.

As part of this work, we will develop a nationwide Medicaid and commercial claims database and offer access to an online analytic tool to help ASPE anticipate how policy changes might lead to, or already have led to, responses by health care payers, providers, and patients. In addition to providing these key resources, we will provide data support, training, and other analysis requested by ASPE.

Related Staff

John Schmitt

John Schmitt

Senior Director, Business Development

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Julia Baller

Julia Baller

Senior Researcher

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Allison Barrett

Allison Barrett

Senior Researcher

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Eric Morris

Eric Morris

Researcher

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Marlena Luhr

Marlena Luhr

Research Analyst

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Michel Rudacille

Michel Rudacille

Lead Data Analytics Developer

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